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首页> 外文期刊>Mechatronics, IEEE/ASME Transactions on >A Vision-Based Self-Tuning Fuzzy Controller for Fillet Weld Seam Tracking
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A Vision-Based Self-Tuning Fuzzy Controller for Fillet Weld Seam Tracking

机译:圆角焊缝跟踪的基于视觉的自校正模糊控制器

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摘要

In this paper, an intelligent seam-tracking system is developed for fillet weld workpiece. Structured light vision is employed to detect the deviation of the welding torch. Two stripe lines are formed on the surface of the fillet weld workpiece by the structured laser light. Their intercepts are selected as the image feature, which can result in an approximately uncoupled relationship between the image feature and the movement of adjustment mechanism. A two-step feature-extraction method is designed to robustly detect the two lines in image. In order to get a favorable tracking precision in the welding process, a new self-tuning fuzzy controller is designed. Its input and output scaling factors are tuned according to its active working region. Moreover, a supervisory level is introduced into the control system to limit the output pulses in order to guarantee steady and safe tracking. Finally, experiments are well conducted to verify the performance of the proposed system and methods.
机译:本文针对角焊缝工件开发了智能接缝跟踪系统。结构化的光学视觉用于检测焊炬的偏差。通过结构化的激光在角焊缝工件的表面上形成两条条纹线。选择它们的截距作为图像特征,这会导致图像特征与调整机制的运动之间近似不耦合的关系。设计了一种两步特征提取方法来稳健地检测图像中的两条线。为了在焊接过程中获得良好的跟踪精度,设计了一种新型的自整定模糊控制器。其输入和输出比例因子根据其有效工作区域进行调整。此外,将监控级别引入控制系统以限制输出脉冲,以确保稳定且安全的跟踪。最后,进行了良好的实验以验证所提出系统和方法的性能。

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